Inspire Selection
Do you excel at developing machine learning and AI models, deploying them to production, and solving complex data problems? A leading tech / innovation company in the UAE is hiring a Senior AI Engineer to drive end-to-end AI/ML solutions—from research & prototyping to scalable deployment. If you have deep AI/ML experience, a portfolio of successful projects, and a collaborative mindset, this role offers a chance to lead innovation and make a strong impact.
About the Company
[Company Name] is a technology / AI-driven firm in the UAE focused on building cutting-edge products in domains such as computer vision, natural language processing, predictive analytics, or intelligent automation. They prioritize deep learning, data integrity, strong deployment practices and aim to be at the forefront of AI adoption in the Gulf region.
Job Overview
Location: UAE Abu Dhabi
Job Type: Full-Time, Permanent
Department: AI / Machine Learning / R&D / Data Science
Reports To: Head of AI / Chief Data Scientist / R&D Director
Education: Bachelor’s / Master’s in Computer Science, AI / ML, Statistics, or related field; PhD is a plus
Experience: Typically 5-10+ years in AI / ML, with experience building & deploying models in production, working with large data systems, cloud environments
Gender: Open
Role – Senior AI Engineer
You will lead development of AI/ML models, from data gathering and preprocessing through model training, evaluation, deployment, and monitoring. You’ll work closely with data engineers, devops, product teams, and possibly clients to define AI solutions, ensure scalable & reliable implementation, fine-tune performance, and maintain model lifecycle. You may also mentor junior engineers.
Key Responsibilities
Design, develop and deploy machine learning models / AI solutions (e.g. NLP, CV, anomaly detection, recommendation, forecasting etc.).
Handle end-to-end pipeline: data collection, cleaning, feature engineering, model training, evaluation, deployment and monitoring.
Optimize models for performance, scalability, robustness, bias & fairness, and resource efficiency.
Collaborate with engineering/devops/data infrastructure teams to integrate models into production systems.
Use cloud platforms or ML infrastructure (AWS, Azure, GCP, or internal tools) for training/deployment.
Research new AI/ML methods, frameworks, stay updated with state-of-the-art.
Mentor and upskill junior ML/AI engineers; conduct code reviews, best practices.
Document model behavior, versioning, maintain reproducibility, manage experiments.
Required Qualifications & Skills
Bachelor’s degree in CS / AI / ML / Data Science or related; Master’s / PhD is an advantage.
5-10+ years’ experience in AI/ML engineering, particularly deploying models in production.
Proficiency in Python (or similar), ML frameworks (PyTorch, TensorFlow, etc.), data engineering skills.
Experience with cloud platforms, containerization, CI/CD practices for ML.
Strong mathematical/statistical foundation.
Good understanding of ML metrics, bias, fairness, model interpretability.
Excellent problem solving and ability to translate business requirements into technical solutions.
Salary & Market Insight
Industry reports show that Senior AI Engineers in UAE often earn AED 35,000 to AED 40,000+ per month depending on experience, domain, and scale of responsibility.
For example, at Abu Dhabi firms, senior AI roles are paying around USD$120,000-160,000/year depending on specialization.
Broad benchmarks: AI Engineer salaries in Dubai average AED 25,000-45,000/month for mid-senior levels; senior or lead roles may push higher.
What We Offer
A senior role with autonomy to influence AI product roadmap & impact.
Exposure to large datasets and production systems, with modern infrastructure.
Leadership opportunities: mentoring, owning ML projects, guiding technical standards.
Benefits likely include health insurance, housing/transport allowance, bonuses or equity, continuous learning support.
Location & Work Conditions
Based in UAE; may require hybrid work (office + remote) depending on company.
Fast-paced environment; project deadlines and innovation cycles may demand flexibility.
Growth & Career Path
From Senior AI Engineer → Lead AI Engineer / AI Architect / Head of AI / Director of Machine Learning.
Possible specialization tracks: research, ML infrastructure, product AI, etc.
How to Apply
Apply via the GulfTalent listing Senior AI Engineer (Ref: #507217). In your application, include:
Your CV with projects showcasing AI/ML deployment, production work, and impact.
Examples of models you built—problem statement, data, outcomes, performance.
Tools, frameworks, platforms you’re proficient in (Python, PyTorch/TensorFlow, cloud, etc.).
Mention your leadership or mentoring experience, if any.
Your expected salary & notice period.




